Observer-based data-driven constrained norm optimal iterative learning control for unknown non-affine non-linear systems with both available and unavailable system states

DOI10.1016/j.jfranklin.2020.03.019zbMath1441.93100OpenAlexW3015316077MaRDI QIDQ776059

Qiongxia Yu, Zhongsheng Hou, Xuhui Bu, Junqi Yang

Publication date: 30 June 2020

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2020.03.019

Mathematics Subject Classification ID

Nonlinear systems in control theory (93C10) Multivariable systems, multidimensional control systems (93C35) System structure simplification (93B11) Iterative learning control (93B47) Observers (93B53)

Related Items (2)

Data-driven ILC algorithms using AFD in frequency domain for unknown linear discrete-time systems ⋮ Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm

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